benwakefield commited on
Commit
5a8144b
1 Parent(s): c52e2ba

Upload musika-grateful-dead-barton-hall readme

Browse files
Files changed (1) hide show
  1. README.md +23 -0
README.md ADDED
@@ -0,0 +1,23 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ license: mit
3
+ tags:
4
+ - audio
5
+ - music
6
+ - generation
7
+ - tensorflow
8
+ ---
9
+
10
+ # Musika Model: musika-grateful-dead-barton-hall
11
+ ## Model provided by: benwakefield
12
+
13
+ Pretrained musika-grateful-dead-barton-hall model for the [Musika system](https://github.com/marcoppasini/musika) for fast infinite waveform music generation.
14
+ Introduced in [this paper](https://arxiv.org/abs/2208.08706).
15
+
16
+ ## How to use
17
+
18
+ You can generate music from this pretrained musika-grateful-dead-barton-hall model using the notebook available [here](https://colab.research.google.com/drive/1HJWliBXPi-Xlx3gY8cjFI5-xaZgrTD7r).
19
+
20
+ ### Model description
21
+
22
+ This pretrained GAN system consists of a ResNet-style generator and discriminator. During training, stability is controlled by adapting the strength of gradient penalty regularization on-the-fly. The gradient penalty weighting term is contained in *switch.npy*. The generator is conditioned on a latent coordinate system to produce samples of arbitrary length. The latent representations produced by the generator are then passed to a decoder which converts them into waveform audio.
23
+ The generator has a context window of about 12 seconds of audio.